University of Twente Student Theses
Optimizing Ambulance Allocations for A0 Emergency Calls in The Netherlands
Cuervo Redel, Lucas (2024) Optimizing Ambulance Allocations for A0 Emergency Calls in The Netherlands.
|
PDF
2MB |
| Abstract: | After the recent introduction of the new emergency call category, A0, the Dutch Emergency Medical System (EMS) would face large losses in service levels if no adjustments were made on the availability of their resources. The National Institute for Public Health and the Environment (RIVM) wanted to know how to avoid this. In this Thesis, we explore the use of an Erlang Loss-based model to generate optimal allocations of ambulances to a given city. In particular, we test our model in the region of Groningen, and use synthetic data generated based on publicly available regional statistics. A comprehensive analysis of different scenarios were considered, and an optimal allocation strategy for the Groningen region was determined, demonstrating the efficacy of our model as a tool to increase service levels through ambulance allocations. |
| Item Type: | Essay (Bachelor) |
| Clients: | RIVM, Bilthoven, The Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/104754 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page